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Senior Data Engineer
2 months ago
Job Title: Azure Data Engineer.
Location: Bangalore, India.
Experience Level: 4-8 years.
Job Description:.
We are looking for an experienced Azure Data Engineer to join our team in Bangalore.
As an Azure Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines and solutions using Azure Data Factory, Databricks, and PySpark.
If you have a passion for data engineering, strong experience with Azure data services, and thrive in a dynamic environment, we want to hear from - Design, develop, and implement end-to-end data solutions on the Azure platform.
- Build and maintain data pipelines using Azure Data Factory, ensuring scalability, reliability, and performance.
- Develop ETL processes using PySpark within Databricks for data transformation and manipulation.
- Collaborate with data scientists, business analysts, and stakeholders to understand requirements and translate them into technical solutions.
- Optimize and tune data pipelines for maximum efficiency and performance.
- Monitor, troubleshoot, and resolve issues related to data pipelines and processing.
- Implement data security and compliance measures in accordance with industry standards and regulations.
- Stay updated on emerging trends and technologies in the field of data engineering and recommend best practices.
Skills Required:
- Bachelor's degree in Computer Science, Engineering, or related field.
- 5+ years of experience in data engineering with a focus on Azure data services.
- Strong proficiency in Azure Data Factory for building and orchestrating data pipelines.
- Extensive experience with Databricks and PySpark for data processing and analytics.
- Solid understanding of data modeling, ETL processes, and data warehousing concepts.
- Hands-on experience with SQL, NoSQL databases, and data integration tools.
- Knowledge of data security, governance, and compliance standards.
- Excellent problem-solving and analytical skills with attention to detail.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
Experience in Years:
- Data engineering with a focus on Azure data services: 5+ years.
- Proficiency in Azure Data Factory: 3+ years.
- Experience with Databricks and PySpark: 3+ years.
- Experience with Devops : 3+ years.
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